Primary Care

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Blood Sugar Level Indication Through Chewing and Swallowing from Acoustic MEMS Sensor and Deep Learning Algorithm for Diabetic Management.

Diabetes, a metabolic disorder due to high blood glycemic index in the human body. The glycemic inde...

A Study of Machine-Learning Classifiers for Hypertension Based on Radial Pulse Wave.

OBJECTIVE: In this study, machine learning was utilized to classify and predict pulse wave of hypert...

The association between serum uric acid to creatinine ratio and renal disease progression in type 2 diabetic patients in Chinese communities.

AIMS: Serum uric acid (UA) increases in patients with kidney disease due to the impaired UA clearanc...

Deep Learning-Based Algorithms in Screening of Diabetic Retinopathy: A Systematic Review of Diagnostic Performance.

TOPIC: Diagnostic performance of deep learning-based algorithms in screening patients with diabetes ...

Serum adipocytokines are associated with microalbuminuria in patients with type 1 diabetes and incipient chronic complications.

AIMS: Recent studies have implicated possible contribution of adipocytokines in development and prog...

Circulating betatrophin in relation to metabolic, inflammatory parameters, and oxidative stress in patients with type 2 diabetes mellitus.

AIMS: Recently, it was suggested that betatrophin has a role in controlling pancreatic β cell prolif...

Ensemble machine learning prediction of posttraumatic stress disorder screening status after emergency room hospitalization.

Posttraumatic stress disorder (PTSD) develops in a substantial minority of emergency room admits. In...

Photoplethysmography and Deep Learning: Enhancing Hypertension Risk Stratification.

Blood pressure is a basic physiological parameter in the cardiovascular circulatory system. Long-ter...

Prevalence of Diabetic Retinopathy and Associated Mortality Among Diabetic Adults With and Without Chronic Kidney Disease.

PURPOSE: To estimate prevalence and severity of diabetic retinopathy (DR) among U.S. adults with dia...

Analysis of tuberculosis disease through Raman spectroscopy and machine learning.

We present the effectiveness of Raman spectroscopy (RS) in combination with machine learning for scr...

SCREEN-DR: Collaborative platform for diabetic retinopathy.

BACKGROUND AND OBJECTIVE: Diabetic retinopathy (DR) is the most prevalent microvascular complication...

Novel screening criteria for post-traumatic venous thromboembolism by using D-dimer.

AIM: Because severe trauma patients frequently manifest coagulopathy, it is extremely important to d...

Identifying in Palliative Care Consultations: A Tandem Machine-Learning and Human Coding Method.

Systematic measurement of conversational features in the natural clinical setting is essential to b...

Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes.

OBJECTIVE: Metformin is the preferred first-line medication for management of type 2 diabetes and pr...

Protein Family-Specific Models Using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data.

Machine learning has shown enormous potential for computer-aided drug discovery. Here we show how mo...

An improved support vector machine-based diabetic readmission prediction.

BACKGROUND AND OBJECTIVE: In healthcare systems, the cost of unplanned readmission accounts for a la...

Obesity and chronic kidney disease progression-the role of a new adipocytokine: C1q/tumour necrosis factor-related protein-1.

BACKGROUND: Obesity is a risk factor for incident chronic kidney disease (CKD) in the general popula...

Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening.

PURPOSE: False positives in digital mammography screening lead to high recall rates, resulting in un...

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